Nebius Group (NASDAQ:NBIS) Trading Down 0.4% – Here’s Why

Nebius Group N.V. (NASDAQ:NBISGet Free Report) fell 0.4% on Friday . The stock traded as low as $25.54 and last traded at $26.08. 1,886,707 shares were traded during mid-day trading, a decline of 82% from the average session volume of 10,304,761 shares. The stock had previously closed at $26.18.

Wall Street Analyst Weigh In

Several brokerages have weighed in on NBIS. DA Davidson began coverage on Nebius Group in a research report on Tuesday, February 25th. They issued a “buy” rating and a $50.00 target price on the stock. BWS Financial reaffirmed a “buy” rating and issued a $60.00 target price on shares of Nebius Group in a research report on Tuesday, March 4th.

Get Our Latest Analysis on NBIS

Nebius Group Stock Up 3.1 %

The firm has a market capitalization of $6.35 billion, a P/E ratio of -47.33 and a beta of 2.47. The firm’s fifty day simple moving average is $34.32.

Institutional Inflows and Outflows

A hedge fund recently bought a new stake in Nebius Group stock. Centaurus Financial Inc. purchased a new position in Nebius Group N.V. (NASDAQ:NBISFree Report) during the 4th quarter, according to its most recent filing with the Securities & Exchange Commission. The fund purchased 343,130 shares of the company’s stock, valued at approximately $9,505,000. Centaurus Financial Inc. owned approximately 0.15% of Nebius Group at the end of the most recent quarter. 21.90% of the stock is currently owned by institutional investors and hedge funds.

Nebius Group Company Profile

(Get Free Report)

Nebius Group N.V., a technology company, builds intelligent products and services powered by machine learning and other technologies to help consumers and businesses navigate the online and offline world. The company’s services include Nebius AI, an AI-centric cloud platform that offers infrastructure and computing capability for AI deployment and machine-learning oriented solutions; and Toloka AI that offers generative AI (GenAI) solutions at every stage of the GenAI lifecycle, such as data annotation and generation, model training and fine-tuning, and quality assessment of large language model for accuracy and reliability.

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